Risk Data Analyst

OCBC; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

OCBC is seeking a Risk Data Analyst to transform compliance operations with data-led techniques and GenAI. You will analyse large banking datasets, deliver dashboards and reports, and partner with risk, audit and compliance teams to enhance surveillance.

The role focuses on analytics, data quality, and secure handling of sensitive information, with collaboration across Consumer Financial Services and Risk & Prevention units. This is a data-driven, output‑oriented position in Singapore.

Qualifications

• Strong SQL skills and ability to analyze large datasets.
• Experience with Python for analytics and automation.
• Familiarity with data visualization tools and BI reports.

Responsibilities

• Lead data-driven solutions to uplift risk surveillance capabilities.
• Implement data-led techniques and GenAI to boost team effectiveness.
• Create clear reports and dashboards for stakeholders.
• Document analytical logic, data sources, and processes.
• Collaborate with cross-functional teams including risk and compliance.

Skills

SQL

Python

Power Platform

Data visualization

Data quality

Tools

Hadoop

Bitbucket/GitHub

Job description

Why Join

Unlock the power of data to transform the way compliance operates. As a Risk Data Analyst at OCBC, you’ll play a critical role in helping us make informed decisions and stay ahead of the competition. With a strong focus on innovation and customer‑centricity, you’ll have the opportunity to work with cutting‑edge technologies and collaborate with cross‑functional teams to drive business outcomes.

How you succeed

To succeed in this role, you need to be a data‑driven problem solver with a passion for analysis and insights. You’ll work closely with stakeholders to understand business needs and develop data‑driven solutions to address them. Your ability to communicate complex data insights effectively will be key to driving business decisions and outcomes.

What you will do

• Provide leadership expertise to analyse, recommend, develop and implement data‑driven solutions to uplift overall Consumer Financial Services, Risk & Prevention risk surveillance capabilities covering Sales, AML and Operational risk.
• Transform the way compliance operates by implementing data‑led techniques and GenAI to uplift the effectiveness and efficiency of the team.
• Champion continuous improvement by evaluating and staying up to date on the latest analytical/AI tools and techniques.
• Promote high and consistent quality of work through standardisation and documentation of key processes and best practice.
• Be the Group Data Office expert on regulatory and compliance‑related data matters.

Who you are

General Knowledge & Experience

• Stay updated on industry risk surveillance trends and capabilities for application consideration within CFS.
• Previous data analytics experience in Risk Surveillance and/or Audit capacity covering at least two or more (AML/Sales/Operations/Fraud) categories preferred.
• Strong understanding of how data analytics can be used to improve risk surveillance and control monitoring.
• Experience working with large datasets from banking systems, transaction platforms, case management tools or operational workflow systems.
• Familiarity with model risk management, audit requirements or regulatory expectations for analytics and AI solutions is advantageous.

Programming & Data

• Strong hands‑on experience with SQL for data extraction, transformation and analysis of large datasets. Experience with querying Hadoop databases is preferred.
• Proficiency in Python for data analytics, automation and web application development.
• Familiarity with Microsoft Power Platform such as Power BI, Power Automate, Power Apps and Copilot Studio is preferred.
• Able to design clear, intuitive and business‑friendly reports and dashboards.
• Document and share analytical logic, assumptions, data sources and best practices.
• Good understanding of data quality, data lineage, access controls and secure handling of sensitive customer information.
• Experience with Bitbucket/GitHub for version control and collaborative development is advantageous.

Machine Learning And AI

• Experience with using GenAI or AI agents to augment workflows and processes.
• Understand machine learning concepts, including model development, validation, monitoring and interpretation.
• Knowledge of limitations and risks associated with AI use in banking, including hallucination, bias, privacy, explainability and regulatory compliance is advantageous.

Communication & Soft Skills

• Strong analytical thinking and exceptional problem‑solving skills.
• Detail‑oriented, curious and comfortable working with ambiguity.
• Ability to translate business and risk questions, including users’ pain points, into data‑driven analytical approaches and identification and development of optimal solutions.
• Strong communication skills and ability to explain technical concepts clearly to non‑technical stakeholders and business concepts to technical stakeholders.
• Excellent team player with a proactive, collaborative and continuous‑improvement mindset.
• Good written and oral communication skills and ability to interact effectively with people at different levels.
• High standards of integrity, accountability and professional judgment, especially when handling sensitive risk and customer data.

What we offer

Competitive base salary. A suite of holistic, flexible benefits to suit every lifestyle. Community initiatives. Industry‑leading learning and professional development opportunities. Equal opportunity. Fair employment. Selection based on ability and fit with our culture and values. Your wellbeing, growth and aspirations are every bit as cared for as the needs of our customers.